{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pima Indians Diabetes Data Set数据探索\n",
    "\n",
    "数据说明：\n",
    "Pima Indians Diabetes Data Set（皮马印第安人糖尿病数据集） 根据现有的医疗信息预测5年内皮马印第安人糖尿病发作的概率。   \n",
    "\n",
    "数据集共9个字段: \n",
    "0列为pregnants(怀孕次数)；\n",
    "1列为Plasma_glucose_concentration(口服葡萄糖耐量试验中2小时后的血浆葡萄糖浓度)；\n",
    "2列为blood_pressure(舒张压,单位:mm Hg）\n",
    "3列为Triceps_skin_fold_thickness(三头肌皮褶厚度,单位：mm）\n",
    "4列为serum_insulin(餐后血清胰岛素,单位:mm）\n",
    "5列为BMI,体重指数（体重（公斤）/ 身高（米）^2）\n",
    "6列为Diabetes_pedigree_function(糖尿病家系作用)\n",
    "7列为Age(年龄)\n",
    "8列为Target(分类变量,0或1）\n",
    " \n",
    "数据链接：https://archive.ics.uci.edu/ml/datasets/Pima+Indians+Diabetes\n",
    "\n",
    "p.s.: Kaggle也有一个Practice Fusion Diabetes Classification任务，可以试试:)\n",
    "https://www.kaggle.com/c/pf2012-diabetes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. import 工具包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "#首先 import 必要的模块\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "#color = sns.color_palette()\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 读取数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pregnants</th>\n",
       "      <th>Plasma_glucose_concentration</th>\n",
       "      <th>blood_pressure</th>\n",
       "      <th>Triceps_skin_fold_thickness</th>\n",
       "      <th>serum_insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Diabetes_pedigree_function</th>\n",
       "      <th>Age</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   pregnants  Plasma_glucose_concentration  blood_pressure  \\\n",
       "0          6                           148              72   \n",
       "1          1                            85              66   \n",
       "2          8                           183              64   \n",
       "3          1                            89              66   \n",
       "4          0                           137              40   \n",
       "\n",
       "   Triceps_skin_fold_thickness  serum_insulin   BMI  \\\n",
       "0                           35              0  33.6   \n",
       "1                           29              0  26.6   \n",
       "2                            0              0  23.3   \n",
       "3                           23             94  28.1   \n",
       "4                           35            168  43.1   \n",
       "\n",
       "   Diabetes_pedigree_function  Age  Target  \n",
       "0                       0.627   50       1  \n",
       "1                       0.351   31       0  \n",
       "2                       0.672   32       1  \n",
       "3                       0.167   21       0  \n",
       "4                       2.288   33       1  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train = pd.read_csv(\"pima-indians-diabetes.csv\")\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "检查数据规模\n",
    "读取测试数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train : (768, 9)\n"
     ]
    }
   ],
   "source": [
    "print(\"Train :\", train.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 768 entries, 0 to 767\n",
      "Data columns (total 9 columns):\n",
      "pregnants                       768 non-null int64\n",
      "Plasma_glucose_concentration    768 non-null int64\n",
      "blood_pressure                  768 non-null int64\n",
      "Triceps_skin_fold_thickness     768 non-null int64\n",
      "serum_insulin                   768 non-null int64\n",
      "BMI                             768 non-null float64\n",
      "Diabetes_pedigree_function      768 non-null float64\n",
      "Age                             768 non-null int64\n",
      "Target                          768 non-null int64\n",
      "dtypes: float64(2), int64(7)\n",
      "memory usage: 54.1 KB\n"
     ]
    }
   ],
   "source": [
    "#查看数据基本信息\n",
    "#total values in each column, null/not null, datatype, memory occupied etc\n",
    "train.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "该数据集已知存在缺失值，某些列中存在的缺失值被标记为0。通过这些列中指标的定义和相应领域的常识可以证实上述观点，譬如体重指数和血压两列中的0作为指标数值来说是无意义的。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pregnants</th>\n",
       "      <th>Plasma_glucose_concentration</th>\n",
       "      <th>blood_pressure</th>\n",
       "      <th>Triceps_skin_fold_thickness</th>\n",
       "      <th>serum_insulin</th>\n",
       "      <th>BMI</th>\n",
       "      <th>Diabetes_pedigree_function</th>\n",
       "      <th>Age</th>\n",
       "      <th>Target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>count</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mean</td>\n",
       "      <td>3.845052</td>\n",
       "      <td>120.894531</td>\n",
       "      <td>69.105469</td>\n",
       "      <td>20.536458</td>\n",
       "      <td>79.799479</td>\n",
       "      <td>31.992578</td>\n",
       "      <td>0.471876</td>\n",
       "      <td>33.240885</td>\n",
       "      <td>0.348958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>std</td>\n",
       "      <td>3.369578</td>\n",
       "      <td>31.972618</td>\n",
       "      <td>19.355807</td>\n",
       "      <td>15.952218</td>\n",
       "      <td>115.244002</td>\n",
       "      <td>7.884160</td>\n",
       "      <td>0.331329</td>\n",
       "      <td>11.760232</td>\n",
       "      <td>0.476951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>min</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.078000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25%</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>0.243750</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50%</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>30.500000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.372500</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75%</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>140.250000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>127.250000</td>\n",
       "      <td>36.600000</td>\n",
       "      <td>0.626250</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>max</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>846.000000</td>\n",
       "      <td>67.100000</td>\n",
       "      <td>2.420000</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        pregnants  Plasma_glucose_concentration  blood_pressure  \\\n",
       "count  768.000000                    768.000000      768.000000   \n",
       "mean     3.845052                    120.894531       69.105469   \n",
       "std      3.369578                     31.972618       19.355807   \n",
       "min      0.000000                      0.000000        0.000000   \n",
       "25%      1.000000                     99.000000       62.000000   \n",
       "50%      3.000000                    117.000000       72.000000   \n",
       "75%      6.000000                    140.250000       80.000000   \n",
       "max     17.000000                    199.000000      122.000000   \n",
       "\n",
       "       Triceps_skin_fold_thickness  serum_insulin         BMI  \\\n",
       "count                   768.000000     768.000000  768.000000   \n",
       "mean                     20.536458      79.799479   31.992578   \n",
       "std                      15.952218     115.244002    7.884160   \n",
       "min                       0.000000       0.000000    0.000000   \n",
       "25%                       0.000000       0.000000   27.300000   \n",
       "50%                      23.000000      30.500000   32.000000   \n",
       "75%                      32.000000     127.250000   36.600000   \n",
       "max                      99.000000     846.000000   67.100000   \n",
       "\n",
       "       Diabetes_pedigree_function         Age      Target  \n",
       "count                  768.000000  768.000000  768.000000  \n",
       "mean                     0.471876   33.240885    0.348958  \n",
       "std                      0.331329   11.760232    0.476951  \n",
       "min                      0.078000   21.000000    0.000000  \n",
       "25%                      0.243750   24.000000    0.000000  \n",
       "50%                      0.372500   29.000000    0.000000  \n",
       "75%                      0.626250   41.000000    1.000000  \n",
       "max                      2.420000   81.000000    1.000000  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#查看数值型特征的基本统计量\n",
    "train.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从结果中我们可以看到很多列的最小值为0。而在一些特定列代表的变量中，0值并没有意义，这就表名该值无效或为缺失值。\n",
    "\n",
    "具体来说，下列变量的最小值为0时数据无意义：\n",
    "1、血浆葡萄糖浓度\n",
    "2、舒张压\n",
    "3、肱三头肌皮褶厚度\n",
    "4、餐后血清胰岛素\n",
    "5、体重指数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pregnants                         0\n",
      "Plasma_glucose_concentration      5\n",
      "blood_pressure                   35\n",
      "Triceps_skin_fold_thickness     227\n",
      "serum_insulin                   374\n",
      "BMI                              11\n",
      "Diabetes_pedigree_function        0\n",
      "Age                               0\n",
      "Target                            0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "NaN_col_names = ['Plasma_glucose_concentration','blood_pressure','Triceps_skin_fold_thickness','serum_insulin','BMI']\n",
    "train[NaN_col_names] = train[NaN_col_names].replace(0, np.NaN)\n",
    "print(train.isnull().sum())\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pregnants                       0\n",
      "Plasma_glucose_concentration    0\n",
      "blood_pressure                  0\n",
      "Triceps_skin_fold_thickness     0\n",
      "serum_insulin                   0\n",
      "BMI                             0\n",
      "Diabetes_pedigree_function      0\n",
      "Age                             0\n",
      "Target                          0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# 补充缺省值\n",
    "medians = train.median()\n",
    "train = train.fillna(medians)\n",
    "print(train.isnull().sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "第1、2、5列中0值较少；相比较而言，第3、4列中的0值多出数倍，接近总量的一半。\n",
    "为了确保有足够的数据量来训练模型，针对不同的列需要有不同的缺失值判断策略。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. 查看每个变量的分布 及其与标签之间的关系"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Target "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#该问题为分类问题，类别型特征直方图可用countplot\n",
    "sns.countplot(train['Target'])\n",
    "plt.xlabel('Diabetes')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 怀孕次数pregnants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "### Number of occurrences\n",
    "sns.countplot(train['pregnants'])\n",
    "plt.xlabel('Number of pregnants')\n",
    "plt.ylabel('Number of occurrences')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#怀孕次数有超过17的？\n",
    "#但在疾病判断案例中，异常值可能就意味着得病，不能删除\n",
    "ulimit = 10\n",
    "\n",
    "#删除怀孕次数大于10的样本\n",
    "train = train[train['pregnants'] < ulimit]\n",
    "print (train.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a252f9c10>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=\"pregnants\", hue=\"Target\",data=train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "怀孕次数和是否得病好像还真有关系！！！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plasma_glucose_concentration\n",
    "血浆葡萄糖浓度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of occurrences')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.Plasma_glucose_concentration, kde = False)\n",
    "plt.xlabel('Plasma_glucose_concentration')\n",
    "plt.ylabel('Number of occurrences')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target', y='Plasma_glucose_concentration', data=train, hue=\"Target\")\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('Plasma_glucose_concentration', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### blood_pressure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.blood_pressure, kde = False)\n",
    "plt.xlabel('blood_pressure')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "血压为0？"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "查看blood_pressure与标签之间的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target', y='blood_pressure', data=train, hue=\"Target\")\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('blood_pressure', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Triceps_skin_fold_thickness\n",
    "三头肌皮褶厚度（单位：mm）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.Triceps_skin_fold_thickness, kde = False)\n",
    "plt.xlabel('Triceps_skin_fold_thickness')\n",
    "plt.ylabel('frequency')#概率"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looks like there are some outliers in this feature. So let us remove them and then plot again.\n",
    "但在疾病判断案例中，异常值可能就意味着得病，不能删除\n",
    "\n",
    "ulimit = 80\n",
    "train = train[train['Triceps_skin_fold_thickness'] < ulimit]\n",
    "\n",
    "plt.scatter(range(train.shape[0]), train[\"Triceps_skin_fold_thickness\"].values,color='purple')\n",
    "plt.title(\"Distribution of Triceps_skin_fold_thickness\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target', y='Triceps_skin_fold_thickness', data=train, hue=\"Target\")\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('Triceps_skin_fold_thickness', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### serum_insulin\n",
    "餐后血清胰岛素（单位:mm）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.serum_insulin, kde = False)\n",
    "plt.xlabel('serum_insulin')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "serum_insulin与标签之间的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target', y='serum_insulin', data=train, hue=\"Target\")\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('serum_insulin', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### BMI\n",
    "体重指数（体重（公斤）/ 身高（米）^2）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.BMI, kde = False)\n",
    "plt.xlabel('BMI')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.violinplot(x='Target', y='BMI', data=train, hue=\"Target\")\n",
    "plt.xlabel('Diabetes', fontsize=12)\n",
    "plt.ylabel('BMI', fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "BMI=0？\n",
    "为缺失值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a25d0e190>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "BMIDF = train.groupby(['BMI', 'Target'])['BMI'].count().unstack('Target').fillna(0)\n",
    "BMIDF[[0,1]].plot(kind='bar', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Diabetes_pedigree_function，糖尿病家系作用"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "###Diabetes_pedigree_function，糖尿病家系作用\n",
    "fig = plt.figure()\n",
    "sns.distplot(train.Diabetes_pedigree_function, kde = False)\n",
    "plt.xlabel('Diabetes_pedigree_function')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a26eb2a50>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "DF = train.groupby(['Diabetes_pedigree_function', 'Target'])['Diabetes_pedigree_function'].count().unstack('Target').fillna(0)\n",
    "DF[[0,1]].plot(kind='bar', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'frequency')"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "sns.distplot(train.Age, kde = False)\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('frequency')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a282a2790>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXIAAAEJCAYAAACJwawLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAeCElEQVR4nO3dfZxU1Z3n8c9PHgIEIoINkbTa+EQUXR5sIYxiVIwSHRVXdGV2IkYS3FklThIdncRRhtEsmd2NJuPGXVaNmPEBH6IYk6jIaEx8jUIDojyIBERon2gJogiI4m/+OKfxUlR1V1XXQ9/u7/v1qlfVPbfOPefcrvvrU+eee8vcHRERSa99ql0BERFpGwVyEZGUUyAXEUk5BXIRkZRTIBcRSTkFchGRlOtaycL2339/r6urq2SRIiKpt2jRonfdvSbX+ooG8rq6OhoaGipZpIhI6pnZ6y2t19CKiEjKKZCLiKScArmISMpVdIxcRKQaPv74YxobG9mxY0e1q9KiHj16UFtbS7du3QrKp0AuIh1eY2Mjffr0oa6uDjOrdnWycnc2bdpEY2MjgwcPLiivhlZEpMPbsWMH/fv3b7dBHMDM6N+/f1HfGhTIRaRTaM9BvFmxddTQioh0Sps2bWLcuHEAvP3223Tp0oWamnDNzYIFC+jevXvJy1y8eDEbN25k/PjxJd1u+wrk0/dNvN5SvXqISIfXv39/XnzxRQCmT59O7969ufLKK/POv2vXLrp06VJQmYsXL2bZsmUlD+QaWhERyXDWWWdx7LHHMnToUG677TYAPvnkE/r27cu1117LqFGjWLBgAY8++ihDhgxh7NixTJs2jQkTJgCwdetWLr74YkaNGsWIESP49a9/zfbt25kxYwZ33303w4cP58EHHyxZfVvtkZvZEGBOIukQ4DrgrpheB6wDLnD3zSWrmYhIlcyePZt+/fqxbds26uvrOe+88+jTpw9btmxh5MiR3HDDDWzbto0jjjiC5557joMOOogLLrhgd/4ZM2Ywfvx47rzzTjZv3szo0aN56aWXuO6661i2bBk333xzSevbao/c3Ve5+3B3Hw4cC2wDHgauAea7++HA/LgsIpJ6N910E8OGDWPMmDE0NjayZs0aALp37865554LwIoVKxgyZAgHH3wwZsakSZN253/yySe58cYbGT58OCeffDI7duxg/fr1ZatvoWPk44A17v66mZ0DnBTTZwPPAFeXrmoiIpX31FNP8eyzz/L888/Ts2dPTjjhhN1TAnv27Ll7ZklLP1zv7jzyyCMceuihe6Q/++yzZalzoWPkFwL3xtcD3f0tgPg8oJQVExGphi1bttCvXz969uzJ8uXLWbhwYdb3DR06lFWrVrFhwwbcnTlzPhuBPv300/nZz362e3nJkiUA9OnThw8++KDkdc47kJtZd+Bs4IFCCjCzqWbWYGYNTU1NhdZPRKSizjzzTLZt28awYcOYMWMGo0ePzvq+Xr16ccstt3DqqacyduxYBg0axL77hpl3119/Pdu2beOYY45h6NChTJ8+HYBTTjmFpUuXMmLEiJKe7LSWvh7s8cYwlHKZu58Wl1cBJ7n7W2Z2APCMuw9paRv19fXe4v3INf1QRMpg5cqVHHnkkSXf7tatW+nduzfuzqWXXsoxxxzDtGnT2rTNbHU1s0XuXp8rTyFDK5P4bFgF4FFgcnw9GZhbwLZERFLv1ltvZfjw4Rx11FFs376db3/721WpR14nO82sF/A14NJE8kzgfjObAqwHzi999URE2q+rrrqKq666qtrVyC+Qu/s2oH9G2ibCLBYREakiXdkpIpJyCuQiIimnQC4iknIK5CIiFfL4448zZMgQDjvsMGbOnFmy7bav29iKiFRA3TW/Ken21s08s9X37Nq1i8suu4x58+ZRW1vLcccdx9lnn81RRx3V5vLVIxcRqYAFCxZw2GGHccghh9C9e3cuvPBC5s4tzeU3CuQiIhXwxhtvcOCBB+5erq2t5Y033ijJthXIRUQqINvtUEr1O6IK5CIiFVBbW8uGDRt2Lzc2NjJo0KCSbFuBXESkAo477jhWr17Na6+9xs6dO7nvvvs4++yzS7JtzVoREamArl27csstt3D66aeza9cuLrnkEoYOHVqabZdkKyIiKZLPdMFyOOOMMzjjjDNKvl0NrYiIpJwCuYhIyimQi4ikXOXHyJM/5wb6STcRkTZSj1xEJOUUyEVEUk6BXESkAi655BIGDBjA0UcfXfJtax65iHQ+mefq2ry91s/1XXzxxVx++eVcdNFFpS2bPHvkZtbXzB40s1fMbKWZjTGzfmY2z8xWx+f9Sl47EZEO4sQTT6Rfv35l2Xa+Qys/BR539y8Dw4CVwDXAfHc/HJgfl9ukbsc9ux8iIpKfVgO5mX0BOBG4HcDdd7r7e8A5wOz4ttnAhHJVUkREcsunR34I0AT8wsyWmNltZvZ5YKC7vwUQnwdky2xmU82swcwampqaSlZxEREJ8gnkXYGRwK3uPgL4kAKGUdx9lrvXu3t9TU1NkdUUEZFc8gnkjUCju78Qlx8kBPZ3zOwAgPi8sTxVFBFJv0mTJjFmzBhWrVpFbW0tt99+e8m23er0Q3d/28w2mNkQd18FjANWxMdkYGZ8Ls2viIqIlFsVbg1y7733lm3b+c4jnwbcbWbdgbXANwm9+fvNbAqwHji/PFUUEZGW5BXI3f1FoD7LqnGlrY6IiBSq4ld2Zs4RX1fpCoiIdDC614qIdAruXu0qtKrYOiqQi0iH16NHDzZt2tSug7m7s2nTJnr06FFwXt00S0Q6vNraWhobG2nvFyX26NGD2tragvMpkItIh9etWzcGDx5c7WqUjYZWRERSToFcRCTlFMhFRFJOgVxEJOUUyEVEUk6BXEQk5RTIRURSToFcRCTlFMhFRFJOgVxEJOUUyEVEUk6BXEQk5RTIRURSToFcRCTlFMhFRFIur/uRm9k64ANgF/CJu9ebWT9gDlBH+OnNC9x9c3mqKSIiuRTSIz/Z3Ye7e31cvgaY7+6HA/PjsoiIVFhbhlbOAWbH17OBCW2vjoiIFCrfQO7Ak2a2yMymxrSB7v4WQHwekC2jmU01swYza2jvv5cnIpJG+f5m5/Hu/qaZDQDmmdkr+Rbg7rOAWQD19fX+bhGVFBGR3PLqkbv7m/F5I/AwMAp4x8wOAIjPG8tVSRERya3VQG5mnzezPs2vgdOAZcCjwOT4tsnA3HJVUkREcstnaGUg8LCZNb//Hnd/3MwWAveb2RRgPXB++aopIiK5tBrI3X0tMCxL+iZgXDkqJSIi+cv3ZGf6TN838XpL9eohIlJmukRfRCTlFMhFRFJOgVxEJOUUyEVEUk6BXEQk5dI/a0WzU0Skk1OPXEQk5RTIRURSToFcRCTlFMhFRFJOgVxEJOUUyEVEUk6BXEQk5RTIRURSToFcRCTlFMhFRFJOgVxEJOUUyEVEUk6BXEQk5fIO5GbWxcyWmNljcXmwmb1gZqvNbI6ZdS9fNUVEJJdCeuRXACsTyz8GbnL3w4HNwJRSVkxERPKTVyA3s1rgTOC2uGzAKcCD8S2zgQnlqKCIiLQs3x75zcDfAZ/G5f7Ae+7+SVxuBL6ULaOZTTWzBjNraGpqalNlRURkb60GcjP7S2Cjuy9KJmd5q2fL7+6z3L3e3etramqKrKaIiOSSz0+9HQ+cbWZnAD2ALxB66H3NrGvsldcCb5avmiIikkurPXJ3/3t3r3X3OuBC4N/c/b8CTwMT49smA3PLVksREcmpLfPIrwa+Z2Z/IoyZ316aKomISCHyGVrZzd2fAZ6Jr9cCo0pfJRERKURBgbxqpu+bsbxl98u6Hffsfr2uQtUREWlPdIm+iEjKKZCLiKScArmISMopkIuIpJwCuYhIyimQi4iknAK5iEjKpWMeeXuQnMuemMcuIlJt6pGLiKScArmISMp12KEVXbovIp2FeuQiIimnQC4iknIddmilRZqBIiIdiHrkIiIpp0AuIpJynXNoJRcNuYhICqlHLiKScq0GcjPrYWYLzGypmS03s3+M6YPN7AUzW21mc8yse/mrKyIimfIZWvkIOMXdt5pZN+CPZvY74HvATe5+n5n9X2AKcGs5Kpm8uAd0gY+ISFKrPXIPtsbFbvHhwCnAgzF9NjChLDUUEZEW5TVGbmZdzOxFYCMwD1gDvOfun8S3NAJfKk8VRUSkJXkFcnff5e7DgVpgFHBktrdly2tmU82swcwampqaiq+piIhkVdCsFXd/D3gG+ArQ18yax9hrgTdz5Jnl7vXuXl9TU9OWuoqISBb5zFqpMbO+8XVP4FRgJfA0MDG+bTIwt1yVFBGR3PKZtXIAMNvMuhAC//3u/piZrQDuM7MbgCXA7WWsZ/uli4hEpMpaDeTu/hIwIkv6WsJ4uYiIVJGu7BQRSTkFchGRlFMgFxFJOQVyEZGUUyAXEUk5BXIRkZRTIBcRSTkFchGRlFMgFxFJuU75m53JH6pYV8Y8IiKVoB65iEjKKZCLiKRcpxxayaViwye6Y6KIlJB65CIiKadALiKScgrkIiIpp0AuIpJyCuQiIimnWStSeZq1I1JS6pGLiKRcq4HczA40s6fNbKWZLTezK2J6PzObZ2ar4/N+5a+uiIhkymdo5RPg++6+2Mz6AIvMbB5wMTDf3Wea2TXANcDV5atqyiSHD0BDCCJSNq32yN39LXdfHF9/AKwEvgScA8yOb5sNTChXJUVEJLeCxsjNrA4YAbwADHT3tyAEe2BAqSsnIiKtyzuQm1lv4CHgb939/QLyTTWzBjNraGpqKqaOIiLSgrwCuZl1IwTxu939VzH5HTM7IK4/ANiYLa+7z3L3enevr6mpKUWdRUQkodWTnWZmwO3ASnf/SWLVo8BkYGZ8nluWGkrl6AStSCrlM2vleOAbwMtm9mJM+wEhgN9vZlOA9cD55amiiIi0pNVA7u5/BCzH6nGlrY6IiBRKl+hL+6LL90UKpkv0RURSToFcRCTlNLSSFhpyEJEc1CMXEUk5BXIRkZTT0Eob1e24Z/frdW3dWKWGT4opR0M7Iu2WeuQiIimnQC4iknIaWimT5JALlGDYRQqn4SDpJNQjFxFJOQVyEZGU09BK2mn4QKTTU49cRCTlFMhFRFJOQyuyW8ln2pRy2Kdc2yrF9kSqTD1yEZGUUyAXEUk5Da1I22iYQqTq1CMXEUm5VnvkZnYH8JfARnc/Oqb1A+YAdYRzYhe4++byVbNjKekdEzsY7RuRwuXTI78TGJ+Rdg0w390PB+bHZRERqYJWA7m7Pwv8OSP5HGB2fD0bmFDieomISJ6KPdk50N3fAnD3t8xsQK43mtlUYCrAQQcdhBVZoGTX4lCELt8X6RTKfrLT3We5e72719fU1JS7OBGRTqfYQP6OmR0AEJ83lq5KIiJSiGKHVh4FJgMz4/PcktVIUqWYy/o1M0WktFrtkZvZvcC/A0PMrNHMphAC+NfMbDXwtbgsIiJV0GqP3N0n5Vg1rsR1ERGRIugSfUm/9jo7p6V65VrXXtsi7Zou0RcRSTkFchGRlNPQSjvS0myONM70qHadq11+h6Nhn3ZLPXIRkZRTIBcRSTkNrXRCxQw5dKRhihYvYkrj8EEa6ywlpR65iEjKKZCLiKSchlY6sI40HFJ1xVzcU67yK1VOKcrQsE9FqEcuIpJyCuQiIimnoRWRPKRymKqI4ZiqX5TWQp3rrvnNZ+XPPLN05XSAIR/1yEVEUk49ckm99tpbrnbvtmLz5VvYVrX/NkX14lPYW1ePXEQk5RTIRURSTkMrkgqV+oqextsXVLv8ouQYvijmN2CLUcphr+TwDZTgRGwR1CMXEUk5BXIRkZRr09CKmY0Hfgp0AW5z95klqZVIJ5Xra32phxxKORxT7eGoSg1tlHIGTEt1LqaconvkZtYF+D/A14GjgElmdlSx2xMRkeK0ZWhlFPAnd1/r7juB+4BzSlMtERHJl7l7cRnNJgLj3f1bcfkbwGh3vzzjfVOBqXFxCLAqvt4feDfLpnOld7Q81S6/mDzVLr9SeapdfqXyVLv8YvJUu/xK5clMP9jda3JsG9y9qAdwPmFcvHn5G8C/FJC/oZD0jpan2uV3ljqrne23/M5S51K3M9ujLUMrjcCBieVa4M02bE9ERIrQlkC+EDjczAabWXfgQuDR0lRLRETyVfT0Q3f/xMwuB54gTD+8w92XF7CJWQWmd7Q81S6/mDzVLr9SeapdfqXyVLv8YvJUu/xK5WlpW3sp+mSniIi0D7qyU0Qk5RTIRURSToFcRCTlOkQgN7MBReTpX466iFSDjoFOvg8KmXRe6gfwBWAN8EvgrzLW/QK4lXA/l/7AdOBl4BHgSKBffPQn3HdnP2BiIv++wO3AS8By4MiYXg+sBf4EfATcBhyapW71wNPAvxLmy88DtgCLCGeUl8flJuB54GLCLKBLgcdjuUuB3wH/DeiWYx/8/5jnn4DjE+m94nauAnrE7T8K/DPQO2Mbr8bn/5RI6wZcG/M8ARwY0w8DngXeA14AngL+Oss2DwHuAG4Aesd6LgMeAAYDlwC/iW1cRLhFw7hqtL95H7SD9p9E+NzNBF4BNsXHypjWtx0eA6/HfXctGccBuY+BhcBfADPY+zj4m0LaH8t5EvgfmfsA+GLc55ntvz+j/cl9MBHol6X99wA/A/bPNw6Uof0HZmtnLOvnOfbNrLxiaYUC9sgcj/nAVmAC4YB7CPhczLMFmAZcE/8QVwMHAZ8CHwKvJR4fx+ePEmXeRjgIDyZcqPRITH8aOC6+3gC8DawHFgDfBQbFdQsINwSbFN83MaY/F//4tcD3gH8ADgdmxz/qrcBX4vra+PoO4OGMD17zh+/D+CH7W0JA+Eks537gHeDncT/dApwI7IyP94EP4mNX83Oi/f8buBP4avww3RXTfwOcG1+fRPgQPwj8OZZ5LtCdEOz+Ju7/ZcD34wdxStyf04ETgJsJH+ivxX35hzK3/3/Gv/f7WfbBLuD9Krb/KcJBezXwxYyA9FPCgd7ejoEj4j74X2QcB+Q+BsbF/XUxex8HbwD/VkD7jwW2EwLdHvuA8I98Q5b2TwM8o/3N++AjYG2W9n8X2JKoU6txoMTtv5rwec7Wzn6EDkG246OxPQXyXbFxT2c8PgC2J973Q0Kg7A9sS6SvT7y+knAAH5NIey0+L06kvZh4/UrzMvB8In0x8HJ8PZYQNN6OdVufo/ylwJLE8sL4vA+JgyhL+3dmfOjWxudPE+/rSujt/6q5HMBinZqniv4LsBkYmKX9yXq9SOwFE+5v81Kyvon3bY/PfQi3WfgtoXexCTgts/3JPInl5+Pzq8DKMrffCPeguCtzH7SD9n+ulc/Ah7SzYyCzPex5HHwATM1zHzQfB6uAVwpo/9PJz0DGPnipuT1Zyn+DEOj32Ae52h+XdwBdC4gDJWt/c/k52rmL8A8o2/GxM9u29tp2Pm9q64PQozk8S/pKYENG2mRCz3ZnIu2GLPkeAH5COACb/wM3Ev47fj/uiOaDf1r8o5xC6EndTOjdvQX8MmPbXYDxwEbgNMI9ZV4HJiTa8kp8fRbwRPKPG9+/TyJtn1jOkhz75uMsadcTemmr4/IdGetfJfxj/E7cfnP71wL/GTiPREAFbiT0IA4BfkDo/R4EfJNELyXx/n6xzf9OuMvlu0B9XHcYsI34NZTQq3q2+eAg9FzK3f6lhJ7cHvsgPs4tcfuPy7f9cXkr8Hfs+U9mICEwPNcOj4F/BDZlqVeXWMYT7H0MfDW284TM44AwTLIx3/Y3fwaSn5nEPtgBvJ6j/S8ResN77INc7Y953oj1yzcOlLL9VxP+kWVr50fk6HlnfjZyPSoVyCcCQ7Kk/zNwXZb08YQeUbax0MOABxM78Hng7UQASD5qYvoX4x9kDqGX9zKh57WQ3GO3w2Ke3wFfJnw1fI8wrLIivv5jc7uAmvjhmBP/kK/Gx0bCkMHXc5SzkHAXycz0P5A9yB0ay92HEMT+ALwZ1/0i4zEw0f4VhDHhdwkH9ArgR+Q+uMYRehcrCUMIDwGrY3uuJXwNfZXQaxgd84yM72+K65rfX/L2x9d77APCUEol2v8Psf2rY/u/kvgM/BT4MaEHvJnwD2QlYVx7VDs8BqYCc3Lsg+HsfQxsJvyTmUwYemg+Do5I1O2pfNsf8/wKODVL+t2EW2XnbH/mPmil/XcRhtPyigNkjwHN7b+owPb/mDBGn62dtxD/YWVZNy2fGFuxKzvN7MvAl4AX3H1rIv1bhIMhM/3rMb3FPISvJYe6+7L4i0XrCiwnV/p4wn/hQVnWfTvmeT5Lns2E8bs1hBMyXyEEjXcBd/eF8Qc4xhN69r81s1HZ1uXIs4oQKJvTxwInE+6W9lszG034qtrStobG9JWtlL8psa2hhPHCFTHPGOCTbO2J+6I/YRjkZnf/6yyfh7vc/aLM9JbWNaebmXnig2tmBwDL3H2vGQgtbOuX7v6NAst/DDjb3T81MwP6u/u7reQZS/hW87K7P5lIPyGmL8snvZU8Ywm9xAUF5tmrXiXI8zHhfMQWM+tFGN8eSQhoP3D3RjPrCfw9MIJwbDwBLIp5kus2Z+Rp3lZzngZ3fz+WMz2uexP4obtvSJQ/Ikee1uq2ObGt5vSRhECerHMvQo97JNAT+I67ryCDmX0HeNjdN2Skfw74L4QO2VNm9leEk6krCSc7P87c1l7brkQgjw24LFZsOHCFu881s2mEk1ePJ9Njng2Er7CZeb5D6MW0OU8e5X9ICGj5lv8moafWlXCGexTwe8IMh30Ivbl5wGjgGeBUwthx70Se5nW58mSmN5eRbVu5ym8pT1vKuSK+f3Xiz38K4WsohB4MhAB/MmFoZFQiPbmukDy5ymktvZDyW8qTXDfW3feD3Z2Eywi90SuBG919ZuwIXEY4AZwr/TTgIHc/MG6rpTz/PZaRmedbwOVZ8iTrVepyriYMg/zIzGYRjqGHCL3u59z93Ji+jXCSeRxhGKSfh/s3JdcVkqeYclrLk5ne/P6W6vwUoSPXQDiJ/0Din/2WuI01wL1xXZOZ3U04lnoRevi9Y9njCDF6Mq3Jp9ve1gfhK0zv+LouNvKKmL40Mz0uby93njKV3yX+Qd4HvhDTlxHG9DLTexaRp5TbKnWeJYRezEmEHuJJhPHH1YSxw8z0r8Z1/1pgnlcLzPNqicvPleerxHH9uD8W8tlX+6V8dkItn/TPs+dJyLTkeSWRJ3nicSWfnWzdnR6XdyRet5s8RW5rCeFE+2mEqY9NhE7f5Lg/98mybgNhjL8rYWZLl7gtI56kb+1RqQuCungcgnD3dYQP/tcJwxaemW5mPyH8JyprnjKU7+6+y923AWvc/f3Y/o8JQxR7pLv79kLzlHJbZchzLKFn8kPCScRnCEF/CGGccY90d/99XLeowDxfLiRPfH8py8+aJ67bZmb7NQ8tuXsTn/F80939Q4BCttVO8rxMmBsPsNTM6uPrdYR53Xukm9kRcZ99s73lKXJb3Qnndp509ymEePFzwtDjUe7+aZZ1zSdq+xA6R81lfo5wPUTr8on2bX0QvnIOz0jrSujF7MqSfhchWJY7TznK7xXTkjM3GoizNjLS9yV81SokTym3Veo8+xKmcjXPJriFPafNZU1vaV0p81SifMLB3zx1bC1xPjHhfMtHBaT3JgxhFbKt9pBnEGHMeQ3hHNbHcf0fgblZ0n8PHE84Ud3e8hSzrQ+AYTni4Is50r8b9+PrhJP38wkXoL0MXJ9XjC1VsG6xkPCB/2KO9LNy5JlQ7jxlKP+kHOmDSMx3TaTvD4wsME8pt1XqPPuz57zeM4EfZXlf1vRK5alU+Rnv6QUMbmt6WvIQepfDCN/SklPxsqa3tK7aeQrZFnH2So5909K6QXx2MWJfwky/rLN8sj10P3IRkZTrEDfNEhHpzBTIRURSToFcOg0zO9fM3MLFaSIdhgK5dCaTCDMRLqx2RURKSYFcOgUz602YMjaFGMjNbB8z+7mZLTezx8zst2Y2Ma471sx+b2aLzOyJeBsAkXZJgVw6iwnA4+7+KvBnMxtJuFNkHXAM8C1gDICZdSPcLniiux9LuJ/6jdWotEg+ula7AiIVMolw21IIv+YziXDV3APu/inwtpk9HdcPAY4G5oV7Y9GFcCGYSLukQC4dXryM/BTgaDNzQmB2wk2esmYBlrv7mApVUaRNNLQincFEwq1VD3b3Og937XuNcGvf8+JY+UDCfXMg3Cq4xsKtejGzbhZu4yvSLimQS2cwib173w8RLotuJNzp8f8R7pmxxd13EoL/j81sKeFudn9RueqKFEaX6EunZma93X1rHH5ZABzv7m9Xu14ihdAYuXR2j5lZX8LtR/9JQVzSSD1yEZGU0xi5iEjKKZCLiKScArmISMopkIuIpJwCuYhIyimQi4ik3H8AppSV99x7fBIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "DF = train.groupby(['Age', 'Target'])['Age'].count().unstack('Target').fillna(0)\n",
    "DF[[0,1]].plot(kind='bar', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 特征之间的相关性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a285fff90>"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 936x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_corr = train.corr().abs()\n",
    "\n",
    "plt.subplots(figsize=(13, 9))\n",
    "sns.heatmap(data_corr,annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAEHCAYAAABV4gY/AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAT00lEQVR4nO3df5BlZX3n8fcHxt+6BWQaajIzZEicuCFuAtYIJMZdEsyilsng7uqiJE6xbE1ShatGsxH9R1KRKrUM/qiNmIkQcRWQVSITC2MA2UW3NsiACANIOasstIzMIP7AGI3gd/84TxfX5vZ093T39MzT71fVrXvPc59zz/eePvO5Z557zrmpKiRJfTlsuQuQJC0+w12SOmS4S1KHDHdJ6pDhLkkdWrXcBQCsXr26NmzYsNxlSNIh5ZZbbnmoqibGPXdQhPuGDRvYsWPHcpchSYeUJP9vpucclpGkDhnuktQhw12SOmS4S1KHDHdJ6pDhLkkdMtwlqUOGuyR1yHCXpA4dFGeoanFcdtN9Y9tfffKxB7gSScvNPXdJ6pDhLkkdMtwlqUOGuyR1yHCXpA4Z7pLUIcNdkjo0a7gnWZ/khiR3J7kzyetb+/lJvpHktnZ76cg8b0myK8k9SU5fyjcgSXqiuZzE9Cjwpqq6NcmzgFuSXNuee09VvXu0c5LjgTOBXwZ+FrguyS9W1WOLWbgkaWaz7rlX1e6qurU9fgS4G1i7j1k2A1dU1Y+q6uvALuCkxShWkjQ38xpzT7IBOBG4qTW9NsntSS5JcmRrWwvcPzLbJGM+DJJsTbIjyY69e/fOu3BJ0szmHO5Jngl8EnhDVX0PuAj4BeAEYDfw51Ndx8xeT2io2lZVm6pq08TExLwLlyTNbE7hnuRJDMH+saq6CqCqHqyqx6rqJ8Bf8fjQyySwfmT2dcADi1eyJGk2czlaJsDFwN1VdeFI+5qRbi8HdrbH24EzkzwlyXHARuCLi1eyJGk2czla5gXA7wN3JLmttb0VeFWSExiGXO4F/gCgqu5MciVwF8ORNud6pIwkHVizhntVfYHx4+jX7GOeC4ALFlCXJGkBPENVkjpkuEtShwx3SeqQ4S5JHTLcJalDhrskdchwl6QOGe6S1CHDXZI6ZLhLUocMd0nqkOEuSR0y3CWpQ4a7JHXIcJekDhnuktQhw12SOmS4S1KHDHdJ6pDhLkkdMtwlqUOGuyR1yHCXpA4Z7pLUIcNdkjpkuEtShwx3SeqQ4S5JHTLcJalDhrskdWjWcE+yPskNSe5OcmeS17f2o5Jcm+Sr7f7I1p4k70+yK8ntSZ631G9CkvTT5rLn/ijwpqr6JeAU4NwkxwPnAddX1Ubg+jYN8BJgY7ttBS5a9KolSfs0a7hX1e6qurU9fgS4G1gLbAYubd0uBc5ojzcDH6nBPwBHJFmz6JVLkmY0rzH3JBuAE4GbgGOqajcMHwDA0a3bWuD+kdkmW9v019qaZEeSHXv37p1/5ZKkGc053JM8E/gk8Iaq+t6+uo5pqyc0VG2rqk1VtWliYmKuZUiS5mBO4Z7kSQzB/rGquqo1Pzg13NLu97T2SWD9yOzrgAcWp1xJ0lzM5WiZABcDd1fVhSNPbQe2tMdbgKtH2l/Tjpo5Bfju1PCNJOnAWDWHPi8Afh+4I8ltre2twDuAK5OcA9wHvKI9dw3wUmAX8APg7EWtWJI0q1nDvaq+wPhxdIDTxvQv4NwF1iVJWgDPUJWkDhnuktQhw12SOmS4S1KHDHdJ6pDhLkkdMtwlqUOGuyR1yHCXpA4Z7pLUIcNdkjpkuEtShwx3SeqQ4S5JHTLcJalDhrskdchwl6QOGe6S1CHDXZI6ZLhLUocMd0nqkOEuSR0y3CWpQ4a7JHXIcJekDhnuktQhw12SOmS4S1KHDHdJ6pDhLkkdmjXck1ySZE+SnSNt5yf5RpLb2u2lI8+9JcmuJPckOX2pCpckzWwue+4fBl48pv09VXVCu10DkOR44Ezgl9s8H0hy+GIVK0mam1nDvapuBB6e4+ttBq6oqh9V1deBXcBJC6hPkrQfFjLm/tokt7dhmyNb21rg/pE+k63tCZJsTbIjyY69e/cuoAxJ0nT7G+4XAb8AnADsBv68tWdM3xr3AlW1rao2VdWmiYmJ/SxDkjTOfoV7VT1YVY9V1U+Av+LxoZdJYP1I13XAAwsrUZI0X/sV7knWjEy+HJg6kmY7cGaSpyQ5DtgIfHFhJUqS5mvVbB2SXA6cCqxOMgm8DTg1yQkMQy73An8AUFV3JrkSuAt4FDi3qh5bmtIlSTOZNdyr6lVjmi/eR/8LgAsWUpQkaWE8Q1WSOmS4S1KHDHdJ6pDhLkkdMtwlqUOGuyR1yHCXpA4Z7pLUIcNdkjpkuEtShwx3SeqQ4S5JHTLcJalDhrskdchwl6QOGe6S1CHDXZI6ZLhLUocMd0nqkOEuSR0y3CWpQ4a7JHXIcJekDhnuktQhw12SOmS4S1KHDHdJ6pDhLkkdMtwlqUOGuyR1aNZwT3JJkj1Jdo60HZXk2iRfbfdHtvYkeX+SXUluT/K8pSxekjTeXPbcPwy8eFrbecD1VbURuL5NA7wE2NhuW4GLFqdMSdJ8zBruVXUj8PC05s3Ape3xpcAZI+0fqcE/AEckWbNYxUqS5mZ/x9yPqardAO3+6Na+Frh/pN9ka3uCJFuT7EiyY+/evftZhiRpnMX+QjVj2mpcx6raVlWbqmrTxMTEIpchSSvb/ob7g1PDLe1+T2ufBNaP9FsHPLD/5UmS9sf+hvt2YEt7vAW4eqT9Ne2omVOA704N30iSDpxVs3VIcjlwKrA6ySTwNuAdwJVJzgHuA17Rul8DvBTYBfwAOHsJapYkzWLWcK+qV83w1Glj+hZw7kKLkiQtjGeoSlKHDHdJ6pDhLkkdMtwlqUOGuyR1yHCXpA4Z7pLUIcNdkjpkuEtShwx3SeqQ4S5JHTLcJalDhrskdchwl6QOGe6S1CHDXZI6ZLhLUocMd0nqkOEuSR0y3CWpQ4a7JHXIcJekDhnuktQhw12SOmS4S1KHDHdJ6pDhLkkdMtwlqUOGuyR1yHCXpA6tWsjMSe4FHgEeAx6tqk1JjgI+DmwA7gVeWVXfXliZkqT5WIw999+sqhOqalObPg+4vqo2Ate3aUnSAbQUwzKbgUvb40uBM5ZgGZKkfVhouBfw90luSbK1tR1TVbsB2v3RC1yGJGmeFjTmDrygqh5IcjRwbZKvzHXG9mGwFeDYY49dYBnaX5fddN/Y9lef7N9EOpQtaM+9qh5o93uAvwFOAh5Msgag3e+ZYd5tVbWpqjZNTEwspAxJ0jT7He5JnpHkWVOPgX8L7AS2A1taty3A1QstUpI0PwsZljkG+JskU69zWVX9XZKbgSuTnAPcB7xi4WVKkuZjv8O9qr4G/OqY9m8Bpy2kKEnSwniGqiR1yHCXpA4Z7pLUoYUe565lMNOx6ZI0xXA/CHgikaTF5rCMJHXIcJekDjksswAOp8zOdSQtD/fcJalDhrskdchwl6QOOeaueXEMXTo0GO4HseU8WckTpaRDm+G+AhjU0srjmLskdchwl6QOOSxzAPU8PNLze5MORe65S1KH3HOfA/dKJR1q3HOXpA65574E3NOXtNwM9xGG8vLzDFhpcRjuWhZ+kEpLyzF3SerQitxzd6+xHw7jSOOtyHDXoccPZGl+HJaRpA4Z7pLUIYdl1CXH4rXSuecuSR3qes/dL+EkrVRLFu5JXgy8Dzgc+FBVvWMplmOAaz72tb04ZKOeLEm4Jzkc+Avgt4FJ4OYk26vqrqVYnrQY5ruj4IeBDmZLted+ErCrqr4GkOQKYDNguKsb8/3Sdqn76+B2oP+eSxXua4H7R6YngZNHOyTZCmxtk99Pcs8S1XIwWQ08tNxFHCS6XRdnza/76rPmuR7m+fqHim63h9lM+3vOdz383ExPLFW4Z0xb/dRE1TZg2xIt/6CUZEdVbVruOg4GrouB62Hgehgs5npYqkMhJ4H1I9PrgAeWaFmSpGmWKtxvBjYmOS7Jk4Ezge1LtCxJ0jRLMixTVY8meS3wWYZDIS+pqjuXYlmHmBU1DDUL18XA9TBwPQwWbT2kqmbvJUk6pHj5AUnqkOEuSR0y3JdIkvVJbkhyd5I7k7y+tR+V5NokX233Ry53rQdCksOTfCnJp9v0cUluauvh4+2L964lOSLJJ5J8pW0Xv7YSt4ckf9T+TexMcnmSp66U7SHJJUn2JNk50jZ2G8jg/Ul2Jbk9yfPmsyzDfek8Crypqn4JOAU4N8nxwHnA9VW1Ebi+Ta8ErwfuHpl+J/Ceth6+DZyzLFUdWO8D/q6q/iXwqwzrY0VtD0nWAq8DNlXVcxkOuDiTlbM9fBh48bS2mbaBlwAb220rcNG8llRV3g7ADbia4Vo79wBrWtsa4J7lru0AvPd1baP9LeDTDCe5PQSsas//GvDZ5a5zidfBvwC+TjuIYaR9RW0PPH72+lEMR+t9Gjh9JW0PwAZg52zbAPCXwKvG9ZvLzT33AyDJBuBE4CbgmKraDdDuj16+yg6Y9wJ/AvykTf8M8J2qerRNTzL8o+/ZzwN7gb9uw1MfSvIMVtj2UFXfAN4N3AfsBr4L3MLK2x5GzbQNjLuMy5zXi+G+xJI8E/gk8Iaq+t5y13OgJXkZsKeqbhltHtO192NyVwHPAy6qqhOBf6TzIZhx2njyZuA44GeBZzAMP0zX+/YwFwv6d2K4L6EkT2II9o9V1VWt+cEka9rza4A9y1XfAfIC4HeT3AtcwTA0817giCRTJ9GthMtTTAKTVXVTm/4EQ9ivtO3hRcDXq2pvVf0YuAr4dVbe9jBqpm1gQZdxMdyXSJIAFwN3V9WFI09tB7a0x1sYxuK7VVVvqap1VbWB4Yuzz1XVWcANwH9o3VbCevgmcH+S57Sm0xgugb2itgeG4ZhTkjy9/RuZWg8ranuYZqZtYDvwmnbUzCnAd6eGb+bCM1SXSJLfAD4P3MHjY81vZRh3vxI4lmFDf0VVPbwsRR5gSU4F/riqXpbk5xn25I8CvgT8XlX9aDnrW2pJTgA+BDwZ+BpwNsMO1oraHpL8KfAfGY4o+xLwnxnGkrvfHpJcDpzKcGnfB4G3AZ9izDbQPvz+G8PRNT8Azq6qHXNeluEuSf1xWEaSOmS4S1KHDHdJ6pDhLkkdMtwlqUOGuyR1yHDXT0nyM0lua7dvJvnGyPSTp/X9bJJnLVet0yX5QjuWfHr7ftWZ5PgkX27XgtkwQ59VSb4zw3MfTXLGPl7/jUmeOofXOTfJWft4nRcl+dS+3otWniX5DVUduqrqW8AJAEnOB75fVe8e7dNOrkhVnX7gK5y/BdT574BPVNWfLWY9I94IXAL8cF+dquovlmj56ph77pqTJM9uP67wQeBWYE2SySRHtOfPbj8o8OUkf93ajklyVZIdSb7YTqEmyduTXJrhx0y+muQ/tfa1be/7trasX5+hllVJ/nuSO1q/1017/vC213x+m57M8EMZU+/h4gw/FvGZqT3nMcv4XeC1wB8mua61/Umbf2eS/zJmnsOSfCDJXUn+luEsxJnW5x8xXP3v81Ov39rf0dbh/0ly9Mj6ekN7/ItJPtf63Dr9fxRJTp5qb/NdnOR/JflaknNH+m1pf5PbWs2HzbReM/y4xl1tmR+d6T3pILPc1zb2dvDegPMZLhcA8GyGyyg8f+T5SeAIhh+e+ApwVGufuv84cEp7vIF2DWvg7QwfEE9lCLhJ4BjgzcCbW5/DgWfOUNfJwGdGpo9o918ANrXlvnlMnc8Gfgz8q9Z+FXDmPt7/2xmu5glwEvBl4OnAsxh+aONXGP73+53W55XAZxh2mtYB3wPO2MfrT47Uvorhin8vadMXAueNqeMW4Hfa46e2el7EcAr7C4EdwLqR+T7PcLmDo4FvtfX63NZ/6vrp24BX72O97gaePNrm7eC/OSyj+fi/VXXzmPbfAj5e7Zoo9fi1UV4EPGcYxQHgyCRPa48/VVU/BH6Y5Ebg+cDNwF+2velPVdWXZ6hjV3vd9wHXAH8/8tzFwGVV9c6Z5q2qO9rjWxg+dObihcAnq+oHAG2M+zcYLno15V8Dl1fVT4DJJP9zjq895Z+q6jMjtb1w9MkMl8tdXVV/C9DWH239Phf4APDbNVykbMqnq+qfgT1JHgYmGP4uzwd2tHmfxnDd8M8yfr3eCXw0ydUMHwo6BDgso/n4xxnaw/jrTAc4qapOaLe1VfVP7bnp/auqPsdwUaXdwMdm+hKxhu8FfoVhT/11DL9YM+V/A6clecoMtY5ejOox5v6907hra48tb479xvnnkccz1TbT6z/Q5p/+hfK49xvgkpG/y3Oq6s/2sV5PBz7I8L+XHUkOn8d70jIx3LUYrgPOTHIUDD/4O9I+Os47GjxnJHlKktW04YQkPwd8s6q2MfzW5InjFpZkguEL3f/BcFW90R8O3taWe0Uevz74YrgReHmSp2X4AZbNDEMe0/uc2cav1wL/ZpbXfIRhiGdOqurbwENJfgcgww9LP709/TDwMuBdSV4402s01wGvbOt+6gipY8et1xbk69oH739l2PN/+kwvrIOHwzJasKq6Pcm7gBuTPMowpHAOQ7BflORshm3tBh4P+5sZxqfXA2+rqgfbF6tvTPJj4PvA782wyPXAxRnGFIphrH60nncluQD4cJLXLNJ7/GKGy7VODUtdVFV3TPsA+QTwm8BOht+7vHGWl90GXJfkfp74o8kzOYth6OoChj31fz9S4+72RfA1+3rfre4/bcs+jOF7iD9k2LOfvl5XAZdlOJT0MOCdVfXIHGvVMvKSvzrgkrwdeKiq3rvctUi9clhGkjrknrsOakl28MThw1dX1V3j+u/nMj4InDKt+cKq+sgivf52hl/ZGfXHVXXduP7SYjDcJalDDstIUocMd0nqkOEuSR0y3CWpQ/8fti+oXA0udhkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAEGCAYAAACevtWaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAPVElEQVR4nO3df6zddX3H8edLittAF8BeSEeLxaVBkc0KDT/GsqBsisZY3GCjuNkYlu4PzGRxWdB/nFtINNnUuUxiJ8ySCIoCgRAiko7NucRqUVSwdnbCyrWVlqGoM3ED3/vj+71ybW+5P865957z6fORnJzz/ZzP+Z73p+ec1/32c77f70lVIUlqy/OWuwBJ0vAZ7pLUIMNdkhpkuEtSgwx3SWrQiuUuAGDlypW1du3a5S5DksbKAw888ERVTcx030iE+9q1a9m5c+dylyFJYyXJfx3pPqdlJKlBhrskNchwl6QGGe6S1CDDXZIaZLhLUoMMd0lqkOEuSQ0y3CWpQSNxhOogbt6xdyjrufK804ayHkkaBW65S1KDDHdJapDhLkkNMtwlqUGGuyQ1yHCXpAYZ7pLUIMNdkhpkuEtSgwx3SWqQ4S5JDTLcJalBhrskNchwl6QGzRruSdYkuT/JriQPJ3l7335SkvuSfKu/PrFvT5IPJdmT5GtJzl7sQUiSft5cttyfBt5RVS8DzgeuTnImcC2wvarWAdv7ZYDXAev6yxbg+qFXLUl6TrOGe1Xtr6ov97d/COwCTgU2Atv6btuAS/vbG4GbqvMF4IQkq4ZeuSTpiOY1555kLfBKYAdwSlXth+4PAHBy3+1U4LFpD5vs2w5d15YkO5PsPHjw4PwrlyQd0ZzDPckLgNuAa6rqB8/VdYa2OqyhamtVbaiqDRMTE3MtQ5I0B3MK9yTH0gX7x6vq9r758anplv76QN8+CayZ9vDVwL7hlCtJmou57C0T4AZgV1W9f9pddwGb+9ubgTuntb+l32vmfOCpqekbSdLSWDGHPhcCfwR8PcmDfdu7gPcCtya5CtgLXN7fdw/wemAP8GPgrUOtWJI0q1nDvao+z8zz6AAXz9C/gKsHrEuSNACPUJWkBhnuktQgw12SGmS4S1KDDHdJapDhLkkNMtwlqUGGuyQ1yHCXpAYZ7pLUIMNdkhpkuEtSgwx3SWqQ4S5JDTLcJalBhrskNchwl6QGGe6S1CDDXZIaZLhLUoMMd0lqkOEuSQ0y3CWpQYa7JDXIcJekBhnuktQgw12SGmS4S1KDDHdJapDhLkkNMtwlqUGGuyQ1yHCXpAYZ7pLUIMNdkhpkuEtSgwx3SWqQ4S5JDZo13JPcmORAkoemtf1lku8kebC/vH7afe9MsifJ7iSvXazCJUlHNpct948Bl8zQ/oGqWt9f7gFIciZwBfDy/jEfTnLMsIqVJM3NrOFeVZ8Dnpzj+jYCn6iqn1TVI8Ae4NwB6pMkLcAgc+5vS/K1ftrmxL7tVOCxaX0m+7bDJNmSZGeSnQcPHhygDEnSoRYa7tcDvwqsB/YDf9u3Z4a+NdMKqmprVW2oqg0TExMLLEOSNJMVC3lQVT0+dTvJPwJ394uTwJppXVcD+xZc3RK6ecfeoaznyvNOG8p6JGkQC9pyT7Jq2uKbgKk9ae4CrkjyC0lOB9YBXxysREnSfM265Z7kFuAiYGWSSeDdwEVJ1tNNuTwK/AlAVT2c5FbgG8DTwNVV9czilC5JOpJZw72qNs3QfMNz9L8OuG6QoiRJg/EIVUlqkOEuSQ0y3CWpQYa7JDXIcJekBhnuktQgw12SGmS4S1KDDHdJapDhLkkNMtwlqUGGuyQ1yHCXpAYZ7pLUIMNdkhpkuEtSgwx3SWqQ4S5JDTLcJalBhrskNchwl6QGGe6S1CDDXZIaZLhLUoMMd0lqkOEuSQ0y3CWpQYa7JDXIcJekBhnuktQgw12SGmS4S1KDDHdJapDhLkkNMtwlqUGGuyQ1yHCXpAYZ7pLUoFnDPcmNSQ4keWha20lJ7kvyrf76xL49ST6UZE+SryU5ezGLlyTNbC5b7h8DLjmk7Vpge1WtA7b3ywCvA9b1ly3A9cMpU5I0H7OGe1V9DnjykOaNwLb+9jbg0mntN1XnC8AJSVYNq1hJ0twsdM79lKraD9Bfn9y3nwo8Nq3fZN92mCRbkuxMsvPgwYMLLEOSNJNhf6GaGdpqpo5VtbWqNlTVhomJiSGXIUlHt4WG++NT0y399YG+fRJYM63famDfwsuTJC3EQsP9LmBzf3szcOe09rf0e82cDzw1NX0jSVo6K2brkOQW4CJgZZJJ4N3Ae4Fbk1wF7AUu77vfA7we2AP8GHjrItQsSZrFrOFeVZuOcNfFM/Qt4OpBi5IkDcYjVCWpQYa7JDXIcJekBhnuktQgw12SGmS4S1KDDHdJapDhLkkNMtwlqUGGuyQ1yHCXpAYZ7pLUIMNdkhpkuEtSgwx3SWqQ4S5JDTLcJalBhrskNchwl6QGzfobqpqfm3fsHcp6rjzvtKGsR9LRyS13SWqQ4S5JDTLcJalBhrskNchwl6QGGe6S1CDDXZIa5H7umhP335fGi1vuktQgw12SGmS4S1KDDHdJapDhLkkNMtwlqUGGuyQ1yP3cR5T7lUsahFvuktQgw12SGjTQtEySR4EfAs8AT1fVhiQnAZ8E1gKPAr9fVd8brExJ0nwMY8v9VVW1vqo29MvXAturah2wvV+WJC2hxZiW2Qhs629vAy5dhOeQJD2HQfeWKeCzSQr4SFVtBU6pqv0AVbU/ycmDFqmFG9ZeN5LGy6DhfmFV7esD/L4k35zrA5NsAbYAnHaau+tJ0jANNC1TVfv66wPAHcC5wONJVgH01weO8NitVbWhqjZMTEwMUoYk6RALDvckxyd54dRt4DXAQ8BdwOa+22bgzkGLlCTNzyDTMqcAdySZWs/NVfWZJF8Cbk1yFbAXuHzwMiVJ87HgcK+qbwOvmKH9v4GLBylKkjQYj1CVpAYZ7pLUIMNdkhpkuEtSgwx3SWqQ4S5JDTLcJalBhrskNcjfUNWS8rdhpaXhlrskNchwl6QGGe6S1CDDXZIaZLhLUoPcW0Zjyb1upOfmlrskNchwl6QGGe6S1CDDXZIa5BeqOqr5xaxa5Za7JDXIcJekBhnuktQgw12SGmS4S1KD3FtGGoJh7HXjHjcaJrfcJalBhrskNchpGWlEDOuAqmFxmmi8ueUuSQ0y3CWpQYa7JDXIcJekBhnuktQg95aRNCNPhzzeDHdJi8o/EsvDaRlJapDhLkkNMtwlqUGLFu5JLkmyO8meJNcu1vNIkg63KOGe5BjgH4DXAWcCm5KcuRjPJUk63GLtLXMusKeqvg2Q5BPARuAbi/R8kho3anvdjFo9h1qscD8VeGza8iRw3vQOSbYAW/rFHyXZPYf1rgSeGEqFy8+xjKZWxtLKOGDIY3nzsFa0MIeNZcB6XnykOxYr3DNDW/3cQtVWYOu8VprsrKoNgxQ2KhzLaGplLK2MAxzLQi3WF6qTwJppy6uBfYv0XJKkQyxWuH8JWJfk9CTPB64A7lqk55IkHWJRpmWq6ukkbwPuBY4Bbqyqh4ew6nlN44w4xzKaWhlLK+MAx7IgqarZe0mSxopHqEpSgwx3SWrQyIZ7kjVJ7k+yK8nDSd7et5+U5L4k3+qvT1zuWmeT5BeTfDHJV/uxvKdvPz3Jjn4sn+y/fB55SY5J8pUkd/fL4zqOR5N8PcmDSXb2bWP3/gJIckKSTyf5Zv+ZuWDcxpLkjP61mLr8IMk14zaOKUn+rP+8P5Tklj4HluyzMrLhDjwNvKOqXgacD1zdn8LgWmB7Va0DtvfLo+4nwKur6hXAeuCSJOcD7wM+0I/le8BVy1jjfLwd2DVteVzHAfCqqlo/bd/jcXx/Afwd8JmqeinwCrrXZ6zGUlW7+9diPXAO8GPgDsZsHABJTgX+FNhQVWfR7VhyBUv5WamqsbgAdwK/A+wGVvVtq4Ddy13bPMdxHPBluiN2nwBW9O0XAPcud31zqH813Qfs1cDddAesjd04+lofBVYe0jZ27y/gl4FH6HeQGOexTKv9NcC/j+s4ePYo/ZPo9kq8G3jtUn5WRnnL/WeSrAVeCewATqmq/QD99cnLV9nc9VMZDwIHgPuA/wS+X1VP910m6d4Qo+6DwF8AP+2XX8R4jgO6o6Y/m+SB/nQYMJ7vr5cAB4F/6qfLPprkeMZzLFOuAG7pb4/dOKrqO8DfAHuB/cBTwAMs4Wdl5MM9yQuA24BrquoHy13PQlXVM9X9d3M13YnVXjZTt6Wtan6SvAE4UFUPTG+eoetIj2OaC6vqbLqzl16d5LeWu6AFWgGcDVxfVa8E/ocxmLo4kn4e+o3Ap5a7loXqvxfYCJwO/ApwPN377FCL9lkZ6XBPcixdsH+8qm7vmx9Psqq/fxXdlvDYqKrvA/9C9z3CCUmmDiQbh1M0XAi8McmjwCfopmY+yPiNA4Cq2tdfH6Cb2z2X8Xx/TQKTVbWjX/40XdiP41igC8EvV9Xj/fI4juO3gUeq6mBV/R9wO/AbLOFnZWTDPUmAG4BdVfX+aXfdBWzub2+mm4sfaUkmkpzQ3/4luhd+F3A/cFnfbeTHUlXvrKrVVbWW7r/N/1xVb2bMxgGQ5PgkL5y6TTfH+xBj+P6qqu8CjyU5o2+6mO702mM3lt4mnp2SgfEcx17g/CTH9Vk29Zos2WdlZI9QTfKbwL8BX+fZ+d130c273wqcRvcPeHlVPbksRc5Rkl8HttF9Y/484Naq+qskL6HbAj4J+Arwh1X1k+WrdO6SXAT8eVW9YRzH0dd8R7+4Ari5qq5L8iLG7P0FkGQ98FHg+cC3gbfSv9cYo7EkOY7ui8iXVNVTfdu4vibvAf6Abs+/rwB/TDfHviSflZENd0nSwo3stIwkaeEMd0lqkOEuSQ0y3CWpQYa7JDXIcNdRL8mbklSSly53LdKwGO5Sd9DM5+kOzJKaYLjrqNafu+hCulOvXtG3PS/Jh/tzcd+d5J4kl/X3nZPkX/uTjd07dVi8NGoMdx3tLqU7D/p/AE8mORv4XWAt8Gt0RxVeAD8719HfA5dV1TnAjcB1y1G0NJsVs3eRmraJ7uRn0B0Wvgk4FvhUVf0U+G6S+/v7zwDOAu7rThfCMXSnc5VGjuGuo1Z/zpJXA2clKbqwLp4958xhDwEerqoLlqhEacGcltHR7DLgpqp6cVWtrao1dL9o9ATwe/3c+ynARX3/3cBEkp9N0yR5+XIULs3GcNfRbBOHb6XfRvfjCpN0pwD+CN2ZSJ+qqv+l+4PwviRfBR6kO0e3NHI8K6Q0gyQvqKof9VM3X6T71abvLndd0lw55y7N7O7+B1aeD/y1wa5x45a7JDXIOXdJapDhLkkNMtwlqUGGuyQ1yHCXpAb9P9spzHDvW+3/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for feature in train.columns:\n",
    "    sns.distplot(train[feature],kde = False)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
